@ARTICLE {WangGrantArainEtAl2013,
AUTHOR = {Wang, Z. and Grant, R.F. and Arain, M.A. and Bernier, P.Y. and Chen,
B. and Chen, J.M. and Govind, A. and Guindon, L. and Kurz, W.A. and
Peng, C. and Price, D.T. and Stinson, G. and Sun, J. and Trofymowe,
J.A. and Yeluripati, J.},
TITLE = {Incorporating weather sensitivity in inventory-based estimates of
boreal forest productivity: A meta-analysis of process model results},
JOURNAL = {Ecological Modelling},
YEAR = {2013},
VOLUME = {260},
PAGES = {25-35},
NUMBER = {0},
MONTH = {jul},
ABSTRACT = {Abstract Weather effects on forest productivity are not normally represented
in inventory-based models for carbon accounting. To represent these
effects, a meta-analysis was conducted on modeling results of five
process models (ecosys, CN-CLASS, Can-IBIS, InTEC and TRIPLEX) as
applied to a 6275 ha boreal forest landscape in Eastern Canada. Process
model results showed that higher air temperature (Ta) caused gains
in CO2 uptake in spring, but losses in summer, both of which were
corroborated by CO2 fluxes measured by eddy covariance (EC). Seasonal
changes in simulated CO2 fluxes and resulting inter-annual variability
in NEP corresponded to those derived from EC measurements. Simulated
long-term changes in above-ground carbon (AGC) resulting from modeled
NEP and disturbance responses were close to those estimated from
inventory data. A meta-analysis of model results indicates a robust
positive correlation between simulated annual NPP and mean maximum
daily air temperature (Tamax) during May–June in four of the process
models. We therefore, derived a function to impart climate sensitivity
to inventory-based models of NPP: NPP'i = NPPi + 9.5 (Tamax –16.5)
where NPPi and NPP'i; are the current and temperature-adjusted
NPP, 16.5 is the long-term mean Tamax during May–June, and Tamax
is that for the current year. The sensitivity of net CO2 exchange
to Ta is nonlinear. Although, caution should be exercised while extrapolating
this algorithm to regions beyond the conditions studied in this landscape,
results of our study are scalable to other regions with a humid continental
boreal climate dominated by black spruce. Collectively, such regions
comprise one of the largest climatic zones in the 450 Mha North American
boreal forest ecosystems.},
ISSN = {0304-3800},
KEYWORDS = {Ecosystem modeling, Carbon flux, Forest productivity, CBM-CFS3, Ecosys,
Can-IBIS, CN-CLASS, InTEC, TRIPLEX},
OWNER = {Luc},
TIMESTAMP = {2014.08.04},
URL = {http://www.sciencedirect.com/science/article/pii/S0304380013001737},
}